Title :
Four-dimensional quantitative analysis of the gait of mutant mice using coarse-grained motion capture
Author :
Oota, S. ; Mekada, K. ; Fujita, Y. ; Humphries, J. ; Fukami-Kobayashi, K. ; Obata, Y. ; Rowe, T. ; Yoshiki, A.
Author_Institution :
RIKEN BioResource Center, Tsukuba, Japan
Abstract :
To analyze an abnormal gait pattern in mutant mice (Hugger), we conducted coarse-grained motion capture. Using a simple retroreflective marker-based approach, we could detect high-resolution mutant-specific gait patterns. The phenotypic gait patterns are caused by extreme vertical motion of limbs, revealing inefficient motor functions. To elucidate the inefficiency, we developed a musculoskeletal computer model of the mouse hindlimb based on X-ray CT data. By integrating motion data with the model, we determined mutant-specific musculotendon lengths, suggesting that three major muscles were involved in the abnormal gait. This approach worked well on laboratory mice, which were putatively too small to be motion capture subjects. Motion capture technology was originally developed for human study, and our approach may help fill neuroscience gaps between mouse and human behavioral phenotypes.
Keywords :
behavioural sciences; computerised tomography; diagnostic radiography; gait analysis; image motion analysis; medical image processing; muscle; neurophysiology; physiological models; X-ray CT data; coarse-grained motion capture; extreme vertical motion; four-dimensional quantitative analysis; high-resolution mutant-specific gait patterns; human behavioral phenotypes; motor functions; mouse hindlimb; musculoskeletal computer model; mutant mice; mutant-specific musculotendon length; neuroscience gaps; retroreflective marker-based approach; Animals; Four-Dimensional Computed Tomography; Gait; Hindlimb; Humans; Mice; Mice, Neurologic Mutants; Models, Anatomic; Motion;
Conference_Titel :
Engineering in Medicine and Biology Society, 2009. EMBC 2009. Annual International Conference of the IEEE
Conference_Location :
Minneapolis, MN
Print_ISBN :
978-1-4244-3296-7
Electronic_ISBN :
1557-170X
DOI :
10.1109/IEMBS.2009.5334287